Hi!

I am currently a fifth-year PhD student in computer science at the University of Chicago, advised by Sanjay Krishnan. My research interests include streaming systems for real-time multimodal serving.

Projects

EdgeServe is a real-time model serving system that optimizes the movements of multimodal streaming data. [Website] [GitHub]

• EdgeServe: A Streaming System for Decentralized Model Serving [Paper]
  Ted Shaowang and Sanjay Krishnan.
  In submission.

• Sensor Fusion on the Edge: Initial Experiments in the EdgeServe System [Paper]
  Ted Shaowang, Xi Liang and Sanjay Krishnan.
  BiDEDE 2022: The International Workshop on Big Data in Emergent Distributed Environments

• Declarative Data Serving: The Future of Machine Learning Inference on the Edge [Paper]
  Ted Shaowang, Nilesh Jain, Dennis D. Matthews and Sanjay Krishnan.
  VLDB 2021: The 47th International Conference on Very Large Data Bases

AMIR (Active Multimodal Interaction Recognition) is a framework for activity recognition that trains independent models for video and network data respectively, and subsequently combines the predictions from both models using a meta-learning method. [Link]

• AMIR: Active Multimodal Interaction Recognition from Video and Network Traffic in Connected Environments [Paper]
  Shinan Liu, Tarun Mangla, Ted Shaowang, Jinjin Zhao, John Paparrizos, Sanjay Krishnan and Nick Feamster
  UbiComp 2023: The ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)

VizEx is an ongoing project that explores how to effectively debug long-tail errors in video analytics pipelines.

• Towards Causal Physical Error Discovery in Video Analytics Systems [Paper]
  Ted Shaowang^*, Jinjin Zhao^*, Stavros Sintos, Sanjay Krishnan
  HILDA 2022: Workshop on Human-In-the-Loop Data Analytics